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Identification of Restriction-Modification Systems of Bifidobacterium animalis subsp. lactis CNCM I-2494 by SMRT Sequencing and Associated Methylome Analysis

Overview of attention for article published in PLOS ONE, April 2014
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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1 tweeter
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1 patent

Citations

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25 Dimensions

Readers on

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53 Mendeley
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Title
Identification of Restriction-Modification Systems of Bifidobacterium animalis subsp. lactis CNCM I-2494 by SMRT Sequencing and Associated Methylome Analysis
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0094875
Pubmed ID
Authors

Mary O′Connell Motherway, Debbie Watson, Francesca Bottacini, Tyson A. Clark, Richard J. Roberts, Jonas Korlach, Peggy Garault, Christian Chervaux, Johan E. T. van Hylckama Vlieg, Tamara Smokvina, Douwe van Sinderen

Abstract

Bifidobacterium animalis subsp. lactis CNCM I-2494 is a component of a commercialized fermented dairy product for which beneficial effects on health has been studied by clinical and preclinical trials. To date little is known about the molecular mechanisms that could explain the beneficial effects that bifidobacteria impart to the host. Restriction-modification (R-M) systems have been identified as key obstacles in the genetic accessibility of bifidobacteria, and circumventing these is a prerequisite to attaining a fundamental understanding of bifidobacterial attributes, including the genes that are responsible for health-promoting properties of this clinically and industrially important group of bacteria. The complete genome sequence of B. animalis subsp. lactis CNCM I-2494 is predicted to harbour the genetic determinants for two type II R-M systems, designated BanLI and BanLII. In order to investigate the functionality and specificity of these two putative R-M systems in B. animalis subsp. lactis CNCM I-2494, we employed PacBio SMRT sequencing with associated methylome analysis. In addition, the contribution of the identified R-M systems to the genetic accessibility of this strain was assessed.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Japan 1 2%
Unknown 50 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 12 23%
Student > Bachelor 7 13%
Student > Master 6 11%
Professor > Associate Professor 5 9%
Other 9 17%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 45%
Immunology and Microbiology 8 15%
Biochemistry, Genetics and Molecular Biology 7 13%
Veterinary Science and Veterinary Medicine 2 4%
Nursing and Health Professions 2 4%
Other 7 13%
Unknown 3 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 June 2015.
All research outputs
#2,408,684
of 9,385,140 outputs
Outputs from PLOS ONE
#40,532
of 123,429 outputs
Outputs of similar age
#48,357
of 181,258 outputs
Outputs of similar age from PLOS ONE
#1,394
of 3,965 outputs
Altmetric has tracked 9,385,140 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 123,429 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 181,258 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 3,965 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.